<!doctype html>
<html>
<head>
<meta charset='UTF-8'><meta name='viewport' content='width=device-width initial-scale=1'>

<link href='https://fonts.loli.net/css?family=Open+Sans:400italic,700italic,700,400&subset=latin,latin-ext' rel='stylesheet' type='text/css' /><style type='text/css'>html {overflow-x: initial !important;}:root { --bg-color:#ffffff; --text-color:#333333; --select-text-bg-color:#B5D6FC; --select-text-font-color:auto; --monospace:"Lucida Console",Consolas,"Courier",monospace; --title-bar-height:20px; }
.mac-os-11 { --title-bar-height:28px; }
html { font-size: 14px; background-color: var(--bg-color); color: var(--text-color); font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; -webkit-font-smoothing: antialiased; }
body { margin: 0px; padding: 0px; height: auto; inset: 0px; font-size: 1rem; line-height: 1.42857; overflow-x: hidden; background: inherit; tab-size: 4; }
iframe { margin: auto; }
a.url { word-break: break-all; }
a:active, a:hover { outline: 0px; }
.in-text-selection, ::selection { text-shadow: none; background: var(--select-text-bg-color); color: var(--select-text-font-color); }
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thead { display: table-header-group; }
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p > .md-image:only-child { display: inline-block; width: 100%; }
#write .MathJax_Display { margin: 0.8em 0px 0px; }
.md-math-block { width: 100%; }
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[contenteditable="true"]:active, [contenteditable="true"]:focus, [contenteditable="false"]:active, [contenteditable="false"]:focus { outline: 0px; box-shadow: none; }
.md-task-list-item { position: relative; list-style-type: none; }
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.math { font-size: 1rem; }
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.md-attr { display: none; }
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code, pre, samp, tt { font-family: var(--monospace); }
kbd { margin: 0px 0.1em; padding: 0.1em 0.6em; font-size: 0.8em; color: rgb(36, 39, 41); background: rgb(255, 255, 255); border: 1px solid rgb(173, 179, 185); border-radius: 3px; box-shadow: rgba(12, 13, 14, 0.2) 0px 1px 0px, rgb(255, 255, 255) 0px 0px 0px 2px inset; white-space: nowrap; vertical-align: middle; }
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code { text-align: left; vertical-align: initial; }
a.md-print-anchor { white-space: pre !important; border-width: initial !important; border-style: none !important; border-color: initial !important; display: inline-block !important; position: absolute !important; width: 1px !important; right: 0px !important; outline: 0px !important; background: 0px 0px !important; text-decoration: initial !important; text-shadow: initial !important; }
.os-windows.monocolor-emoji .md-emoji { font-family: "Segoe UI Symbol", sans-serif; }
.md-diagram-panel > svg { max-width: 100%; }
[lang="flow"] svg, [lang="mermaid"] svg { max-width: 100%; height: auto; }
[lang="mermaid"] .node text { font-size: 1rem; }
table tr th { border-bottom: 0px; }
video { max-width: 100%; display: block; margin: 0px auto; }
iframe { max-width: 100%; width: 100%; border: none; }
.highlight td, .highlight tr { border: 0px; }
mark { background: rgb(255, 255, 0); color: rgb(0, 0, 0); }
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mark .md-meta { color: rgb(0, 0, 0); }
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.outline-expander::before { content: ""; position: relative; font-family: Ionicons; display: inline-block; font-size: 8px; vertical-align: middle; }
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:root {
    --side-bar-bg-color: #fafafa;
    --control-text-color: #777;
}

@include-when-export url(https://fonts.loli.net/css?family=Open+Sans:400italic,700italic,700,400&subset=latin,latin-ext);

/* open-sans-regular - latin-ext_latin */
  /* open-sans-italic - latin-ext_latin */
    /* open-sans-700 - latin-ext_latin */
    /* open-sans-700italic - latin-ext_latin */
  html {
    font-size: 16px;
    -webkit-font-smoothing: antialiased;
}

body {
    font-family: "Open Sans","Clear Sans", "Helvetica Neue", Helvetica, Arial, 'Segoe UI Emoji', sans-serif;
    color: rgb(51, 51, 51);
    line-height: 1.6;
}

#write {
    max-width: 860px;
  	margin: 0 auto;
  	padding: 30px;
    padding-bottom: 100px;
}

@media only screen and (min-width: 1400px) {
	#write {
		max-width: 1024px;
	}
}

@media only screen and (min-width: 1800px) {
	#write {
		max-width: 1200px;
	}
}

#write > ul:first-child,
#write > ol:first-child{
    margin-top: 30px;
}

a {
    color: #4183C4;
}
h1,
h2,
h3,
h4,
h5,
h6 {
    position: relative;
    margin-top: 1rem;
    margin-bottom: 1rem;
    font-weight: bold;
    line-height: 1.4;
    cursor: text;
}
h1:hover a.anchor,
h2:hover a.anchor,
h3:hover a.anchor,
h4:hover a.anchor,
h5:hover a.anchor,
h6:hover a.anchor {
    text-decoration: none;
}
h1 tt,
h1 code {
    font-size: inherit;
}
h2 tt,
h2 code {
    font-size: inherit;
}
h3 tt,
h3 code {
    font-size: inherit;
}
h4 tt,
h4 code {
    font-size: inherit;
}
h5 tt,
h5 code {
    font-size: inherit;
}
h6 tt,
h6 code {
    font-size: inherit;
}
h1 {
    font-size: 2.25em;
    line-height: 1.2;
    border-bottom: 1px solid #eee;
}
h2 {
    font-size: 1.75em;
    line-height: 1.225;
    border-bottom: 1px solid #eee;
}

/*@media print {
    .typora-export h1,
    .typora-export h2 {
        border-bottom: none;
        padding-bottom: initial;
    }

    .typora-export h1::after,
    .typora-export h2::after {
        content: "";
        display: block;
        height: 100px;
        margin-top: -96px;
        border-top: 1px solid #eee;
    }
}*/

h3 {
    font-size: 1.5em;
    line-height: 1.43;
}
h4 {
    font-size: 1.25em;
}
h5 {
    font-size: 1em;
}
h6 {
   font-size: 1em;
    color: #777;
}
p,
blockquote,
ul,
ol,
dl,
table{
    margin: 0.8em 0;
}
li>ol,
li>ul {
    margin: 0 0;
}
hr {
    height: 2px;
    padding: 0;
    margin: 16px 0;
    background-color: #e7e7e7;
    border: 0 none;
    overflow: hidden;
    box-sizing: content-box;
}

li p.first {
    display: inline-block;
}
ul,
ol {
    padding-left: 30px;
}
ul:first-child,
ol:first-child {
    margin-top: 0;
}
ul:last-child,
ol:last-child {
    margin-bottom: 0;
}
blockquote {
    border-left: 4px solid #dfe2e5;
    padding: 0 15px;
    color: #777777;
}
blockquote blockquote {
    padding-right: 0;
}
table {
    padding: 0;
    word-break: initial;
}
table tr {
    border: 1px solid #dfe2e5;
    margin: 0;
    padding: 0;
}
table tr:nth-child(2n),
thead {
    background-color: #f8f8f8;
}
table th {
    font-weight: bold;
    border: 1px solid #dfe2e5;
    border-bottom: 0;
    margin: 0;
    padding: 6px 13px;
}
table td {
    border: 1px solid #dfe2e5;
    margin: 0;
    padding: 6px 13px;
}
table th:first-child,
table td:first-child {
    margin-top: 0;
}
table th:last-child,
table td:last-child {
    margin-bottom: 0;
}

.CodeMirror-lines {
    padding-left: 4px;
}

.code-tooltip {
    box-shadow: 0 1px 1px 0 rgba(0,28,36,.3);
    border-top: 1px solid #eef2f2;
}

.md-fences,
code,
tt {
    border: 1px solid #e7eaed;
    background-color: #f8f8f8;
    border-radius: 3px;
    padding: 0;
    padding: 2px 4px 0px 4px;
    font-size: 0.9em;
}

code {
    background-color: #f3f4f4;
    padding: 0 2px 0 2px;
}

.md-fences {
    margin-bottom: 15px;
    margin-top: 15px;
    padding-top: 8px;
    padding-bottom: 6px;
}


.md-task-list-item > input {
  margin-left: -1.3em;
}

@media print {
    html {
        font-size: 13px;
    }
    pre {
        page-break-inside: avoid;
        word-wrap: break-word;
    }
}

.md-fences {
	background-color: #f8f8f8;
}
#write pre.md-meta-block {
	padding: 1rem;
    font-size: 85%;
    line-height: 1.45;
    background-color: #f7f7f7;
    border: 0;
    border-radius: 3px;
    color: #777777;
    margin-top: 0 !important;
}

.mathjax-block>.code-tooltip {
	bottom: .375rem;
}

.md-mathjax-midline {
    background: #fafafa;
}

#write>h3.md-focus:before{
	left: -1.5625rem;
	top: .375rem;
}
#write>h4.md-focus:before{
	left: -1.5625rem;
	top: .285714286rem;
}
#write>h5.md-focus:before{
	left: -1.5625rem;
	top: .285714286rem;
}
#write>h6.md-focus:before{
	left: -1.5625rem;
	top: .285714286rem;
}
.md-image>.md-meta {
    /*border: 1px solid #ddd;*/
    border-radius: 3px;
    padding: 2px 0px 0px 4px;
    font-size: 0.9em;
    color: inherit;
}

.md-tag {
    color: #a7a7a7;
    opacity: 1;
}

.md-toc { 
    margin-top:20px;
    padding-bottom:20px;
}

.sidebar-tabs {
    border-bottom: none;
}

#typora-quick-open {
    border: 1px solid #ddd;
    background-color: #f8f8f8;
}

#typora-quick-open-item {
    background-color: #FAFAFA;
    border-color: #FEFEFE #e5e5e5 #e5e5e5 #eee;
    border-style: solid;
    border-width: 1px;
}

/** focus mode */
.on-focus-mode blockquote {
    border-left-color: rgba(85, 85, 85, 0.12);
}

header, .context-menu, .megamenu-content, footer{
    font-family: "Segoe UI", "Arial", sans-serif;
}

.file-node-content:hover .file-node-icon,
.file-node-content:hover .file-node-open-state{
    visibility: visible;
}

.mac-seamless-mode #typora-sidebar {
    background-color: #fafafa;
    background-color: var(--side-bar-bg-color);
}

.md-lang {
    color: #b4654d;
}

/*.html-for-mac {
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</style><title>杜克锐个人简历</title>
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<body class='typora-export os-windows'><div class='typora-export-content'>
<div id='write'  class=''><h2 id='杜克锐kerry-du'><span>杜克锐(Kerry Du)</span></h2><blockquote><p><span>kerrydu AT xmu.edu.cn</span></p></blockquote><h3 id='about-me'><span>About me</span></h3><ul><li><p><span>1986年6月出生于广东汕头,2015年6月于厦门大学获经济学博士学位，2019年1月起任厦门大学中国能源政策研究院副教授，主要研究领域为应用计量经济学、能源和环境经济学，效率和生产率分析；在《经济研究》、《世界经济》、《Energy Economics》、《Energy Journal》、《China Economic Review》、《Stata Journal》等国内外重要期刊发表论文40多篇，其中多篇入选ESI高被引论文；主持国家自然科学基金青年项目、中国博士后科学基金面上项目、中国博士后科学基金特别资助项目、山东省自然科学基金博士项目等多个课题；获得山东省社会科学优秀成果二等奖（2018），入选2021年中国高被引学者(Highly Cited Chinese Researchers)。</span></p><p><span>See my profile at </span><a href='https://scholar.google.com/citations?hl=zh-CN&amp;user=hHQkDmUAAAAJ'><span>Google Scholar</span></a></p></li></ul><hr /><h3 id='工作经历'><span>工作经历</span></h3><ul><li><span>2019年1月至今 ，            厦门大学管理学院，中国能源政策研究院， 副教授</span></li><li><span>2015年7月-2018年11月，山东大学经济研究院， 助理研究员</span></li></ul><hr /><h3 id='教育经历'><span>教育经历</span></h3><ul><li><span>2012.09-2015.06， 厦门大学， 能源经济学，博士学位</span></li></ul><hr /><h3 id='科研项目'><span>科研项目</span></h3><ul><li><span>国家自然科学基金面上项目，环境规制与中国城市经济绿色转型：基于绿色技术进步和产业结构升级视角 的研究，72074184，48万元，2021.01-2024.12, 主持</span></li><li><span>国家自然科学基金青年项目，异质技术和空间相关下的环境效率测度方法及应用研究，71603148，17万元，2017.01-2019.12, 主持</span></li></ul><hr /><h3 id='程序编写'><span>程序编写</span></h3><ul><li><a href='https://gitee.com/kerrydu/gitee'><span>gitee: Install Stata package in Gitee</span></a></li><li><a href='https://gitee.com/kerrydu/gitee/tree/master/installpkg'><span>installpkg: Stata Window Menu for installing package</span></a></li><li><span>xtplfc: Stata  module to estimate partially linear functional-coefficient panel data models </span><a href='https://github.com/kerrydu/xtplfc_Stata'><span>[github]</span></a><span> </span><a href='https://gitee.com/kerrydu/xtplfc_Stata'><span>[gitee]</span></a></li><li><span>mepi: Malmquist Energy Productivity Index in Stata </span><a href='https://github.com/kerrydu/mepi'><span>[github]</span></a><span> </span><a href='https://gitee.com/kerrydu/mepi'><span>[gitee]</span></a></li><li><span>gftpch: Total Factor Productivity with Undesirable Outputs in Stata </span><a href='https://github.com/kerrydu/gtfpch'><span>[github]</span></a><span> </span><a href='https://gitee.com/kerrydu/gtfpch'><span>[gitee]</span></a></li><li><span>malmq2: Malmquist Productivity index in Stata </span><a href='https://github.com/kerrydu/malmq2'><span>[github]</span></a><span> </span><a href='https://gitee.com/kerrydu/malmq2'><span>[gitee]</span></a></li><li><span>sbmeff: Slacks-based Measure of Efficiency in Stata </span><a href='https://github.com/kerrydu/sbmeff'><span>[github]</span></a><span> </span><a href='https://gitee.com/kerrydu/sbmeff'><span>[gitee]</span></a></li><li><span>ddfeff: Directional Distance Function for Efficiency/Productivity Analysis in Stata </span><a href='https://github.com/kerrydu/ddfeff'><span>[github]</span></a><span> </span><a href='https://gitee.com/kerrydu/ddfeff'><span>[gitee]</span></a></li><li><span>reshape3: Stata  module to enhance reshape for multilevel data [ssc install reshape3]</span></li><li><span>LMDI: Stata module to compute Logarithmic Mean Divisia Index Decomposition [ssc install lmdi]</span></li><li><span>LABONE: Stata module to label variables after import excel [ssc install labone]</span></li><li><span>TRANSLOG: Stata module to create new variables for a translog function [ssc install translog]</span></li><li><a href='https://gitee.com/kerrydu/STATA-DEA/tree/master'><span>Some Stata commands on DEA models for energy and environmental efficiency evaluation</span></a></li><li><a href='http://homepage.ntu.edu.tw/~wangh/Matlab_W&amp;H_JoE(2010).zip'><span>PSFA2010: Matlab module for Estimating Fixed-Effect Panel Stochastic Frontier Models by Model Transformation</span></a></li><li><a href='https://sites.google.com/site/kerrydu2016/home/stata-files'><span>PSECTA: Stata module for econometric convergent test and club clustering</span></a><span> [findit psecta]</span></li></ul><hr /><h3 id='论文发表'><span>论文发表</span></h3><p><sup><span>#</span></sup><span> indicates the </span><strong><span>corrresponding author</span></strong><span>.</span></p><ol><li><span>X Li, </span><strong><span>K Du</span></strong><sup><span>#</span></sup><span>, X Ouyang</span><sup><span>#</span></sup><span>, L Liu. </span><a href='https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=hHQkDmUAAAAJ&amp;sortby=pubdate&amp;citation_for_view=hHQkDmUAAAAJ:-f6ydRqryjwC'><span>Does more stringent environmental regulation induce firms&#39; innovation? Evidence from the 11th Five-year plan in China</span></a><span>. Energy Economics, 106110.</span></li></ol><ol start='' ><li><span>Daoping Wang, </span><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span>, Ning Zhang.  Measuring technical efficiency and total factor productivity change with undesirable outputs in Stata. Stata Journal,  Stata Journal, 2022,22 (1), 103-124.</span></li><li><strong><span>Kerui Du</span></strong><span>; Yuanyuan Chen; Xin Yao. Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities. Energy Economics. 2021.(98):105247</span></li><li><strong><span>Du, K.</span></strong><span>,  Yu Ying,  Li Jing</span><sup><span>#</span></sup><span>.  Does international trade promote CO2 emission performance? An empirical analysis based on a partially linear functional-coefficient panel data model. Energy Economics, </span><a href='https://www.sciencedirect.com/science/journal/01409883/92/supp/C'><span>Volume 92</span></a><span>, October 2020, </span><a href='https://www.sciencedirect.com/science/article/pii/S0140988320303236'><span>104983</span></a><span>.</span></li><li><strong><span>Du, K.</span></strong><span>, Yu, Y. and Wei, C</span><sup><span>#</span></sup><span> . Climatic impact on china s residential electricity consumption Does the level of income matter？China Economic Review, 2020,63, </span><a href='https://doi.org/10.1016/j.chieco.2020.101520'><span>101520</span></a><span>. </span></li><li><strong><span>Du, K.</span></strong><span>, Zhang, Y.</span><sup><span>#</span></sup><span>  and Zhou, Q. </span><a href='https://github.com/kerrydu/xtplfc_Stata/blob/master/manuscript.pdf'><span>Estimating partially linear functional-coefficient panel data models with Stata</span></a><span>. Stata Journal, 2021,20(4):976-998. </span></li><li><strong><span>Du, K.</span></strong><span>, Shao, S.</span><sup><span>#</span></sup><span> and Yan, Z.  Urban residential energy demand and rebound effect in China: A stochastic energy demand frontier approach. The Energy Journal. 2021.42(4):175-193.</span></li><li><span>Zheming Yan, Baoling Zou, </span><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span>, Ke Li, Do renewable energy technology innovations promote China&#39;s green productivity growth? Fresh evidence from partially linear functional-coefficient models, Energy Economics, 2020,  90, </span><a href='https://www.sciencedirect.com/science/article/pii/S0140988320301821'><span>104842</span></a><span>. </span></li><li><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span>, Pengzhen Li, Zheming Yan</span><sup><span>#</span></sup><span>.  </span><a href='https://linkinghub.elsevier.com/retrieve/pii/S0040162518306176'><span>Do green technology innovations contribute to carbon dioxide emission reduction? Empirical Evidence from Patent Data</span></a><span>. Technological Forecasting &amp; Social Change, Volume 146, September 2019, Pages 297-303. </span></li><li><span>Caiquan Bai, </span><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span>, Ying Yu, Chen Feng. </span><a href='https://www.sciencedirect.com/science/article/pii/S0140988319301495'><span>Understanding the trend of total factor carbon productivity in the world: Insights from convergence analysis</span></a><span>. Energy Economics, Volume 81, June 2019, Pages 698-708</span></li><li><span>Jianglong Li, Hongxun Liu, </span><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span>. </span><a href='https://www.sciencedirect.com/science/article/pii/S1043951X19300574'><span>Does market-oriented reform increase energy rebound effect? Evidence from China&#39;s regional development</span></a><span>, China Economic Review, 2019，56，101304.</span></li><li><strong><span>Kerui Du</span></strong><span>, Jianglong Li</span><sup><span>#</span></sup><span>.  </span><a href='https://www.sciencedirect.com/science/article/pii/S0301421519302824'><span>Towards a green world: How do green technology innovations affect total-factor carbon productivity</span></a><span>. Energy Policy, Volume 131, August 2019, Pages 240-250.</span></li><li><span>Xin Yao</span><sup><span>#</span></sup><span>,  Ruting Huang,  </span><strong><span>Kerui Du</span></strong><span>.  </span><a href='https://www.sciencedirect.com/science/article/pii/S1043951X19300239'><span>The impacts of market power on power grid efficiency: Evidence from China</span></a><span>. China Economic Review，China Economic Review, Volume 55, June 2019, Pages 99-110.</span></li><li><span>Hongxun Liu, </span><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span>，Jianglong Li. </span><a href='https://www.sciencedirect.com/science/article/pii/S0140988319300696'><span>An improved approach to estimate direct rebound effect by incorporating energy efficiency: A revisit of China&#39;s industrial energy demand</span></a><span>. Energy Economics, Volume 80, May 2019, Pages 720-730.</span></li><li><strong><span>Kerui Du</span></strong><span>. Econometrics convergence test and club clustering using Stata. Stata Journal, 2017，Volume 17 Number 4， pp. 882-900.</span></li><li><span>Xiaoling Ouyang， Beiying Gao，</span><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span> ，Gang Du</span><sup><span>#</span></sup><span>. Industrial sectors&#39; energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration, Energy , Volume 145, 15 February 2018, Pages 408-416.</span></li><li><span>Zhi Li, Xiaoling Ouyang</span><sup><span>#</span></sup><span>, </span><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span>, Yang Zhao, Does government transparency contribute to improved eco-efficiency performance? An empirical study of 262 cities in China, Energy Policy, Volume 110, November 2017, Pages 79-89. </span></li><li><span>Zheming Yan, </span><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span>, Zhiming Yang, Min Deng, Convergence or divergence? Understanding the global development trend of low-carbon technologies, Energy Policy, Volume 109, 2017, Pages 499-509.</span></li><li><span>Zheming Yan; Lan Yi; </span><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span>; Zhiming Yang. Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO2 Emissions. Sustainability, 2017, 9, 548. </span></li><li><strong><span>Kerui Du</span></strong><span>; Boqiang Lin</span><sup><span>#</span></sup><span>; Chunping Xie. Exploring Change in China’s carbon intensity: a decomposition approach. Sustainability, 2017, 9(2), 296.</span></li><li><strong><span>Kerui Du</span></strong><span>, Chunping Xie</span><sup><span>#</span></sup><span>, Xiaoling Ouyang</span><sup><span>#</span></sup><span>, A comparison of carbon dioxide (CO2) emission trends among provinces in China, Renewable and Sustainable Energy Reviews, Volume 73, June 2017, Pages 19-25.</span></li><li><strong><span>Kerui Du</span></strong><span> and Boqiang Lin</span><sup><span>#</span></sup><span>. International comparison of total-factor energy productivity growth: A parametric Malmquist index approach. Energy, Volume 118, 1 January 2017, Pages 481-488.</span></li><li><strong><span>Kerui Du</span></strong><span> and Boqiang Lin</span><sup><span>#</span></sup><span>. Understanding the rapid growth of China&#39;s energy consumption: A comprehensive decomposition framework. Energy, Volume 90, Part 1, October 2015, Pages 570–577.</span></li><li><strong><span>Kerui Du</span></strong><span> and Boqiang Lin</span><sup><span>#</span></sup><span>. Comments on “Using latent variable approach to estimate China&#39;s economy-wide energy rebound effect over 1954-2010” by Shuai Shao, Tao Huang and Lili Yang. Energy Policy, Volume 86, November 2015, Pages 219–221.</span></li><li><strong><span>Kerui Du</span></strong><span> </span><sup><span>#</span></sup><span>, Lu Huang, and Zhiming Yang. Understanding industrial energy productivity growth in China: a production-theoretical approach. Energy Efficiency, June 2015, Volume 8, Issue 3, pp 493-508.</span></li><li><span>Boqiang Lin</span><sup><span>#</span></sup><span> and </span><strong><span>Kerui Du</span></strong><span>. Measuring energy rebound effect in the Chinese economy: An economic accounting approach. Energy Economics, Volume 50, July 2015, Pages 96–104.</span></li><li><span>Boqiang Lin</span><sup><span>#</span></sup><span> and </span><strong><span>Kerui Du</span></strong><span>. Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach. Energy Economics, Volume 49, May 2015, Pages 550–557.</span></li><li><span>Boqiang Lin</span><sup><span>#</span></sup><span> and </span><strong><span>Kerui Du</span></strong><span>. Energy and CO2 emissions performance in China&#39;s regional economies: Do market-oriented reforms matter? Energy Policy, Volume 78, March 2015, Pages 113–124.</span></li><li><span>Boqiang Lin</span><sup><span>#</span></sup><span> and </span><strong><span>Kerui Du</span></strong><span>. Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy. Energy, Volume 76, 1 November 2014, Pages 884–890.</span></li><li><span>Boqiang Lin</span><sup><span>#</span></sup><span> and </span><strong><span>Kerui Du</span></strong><span>. Decomposing Energy Intensity Change: A Combination of Index Decomposition Analysis and Production-theoretical Decomposition Analysis. Applied Energy, Volume 129, 15 September 2014，Pages 158-165.</span></li><li><strong><span>Kerui Du</span></strong><sup><span>#</span></sup><span>, Lu Huang and Kun Yu. Sources of the potential CO2 emissions reduction in China: A nonparametric metafrontier approach. Applied Energy, Volume 115, 15 February 2014, Pages 491–501.</span></li><li><span>Boqiang Lin</span><sup><span>#</span></sup><span> and </span><strong><span>Kerui Du</span></strong><span>. Technology gap and China’s regional energy efficiency: A parametric metafrontier approach. Energy Economics, Volume 40, November 2013, Pages 529–536.</span></li><li><span>林伯强,</span><strong><span>杜克锐</span></strong><span>. 要素市场扭曲对能源效率的影响. 经济研究,2013,09:125-136.</span></li><li><span>林伯强,</span><strong><span>杜克锐</span></strong><span>. 理解中国能源强度的变化:一个综合的分解框架. 世界经济,2014,04:69-87.</span></li><li><span>林伯强,</span><strong><span>杜克锐</span></strong><span>. 我国能源生产率增长的动力何在：基于距离函数的分解. 金融研究,2013, 09,84-96.</span></li><li><strong><span>杜克锐</span></strong><span>,罗能生. 电视台集团化还是竞争:一个产业组织的视角. 世界经济文汇,2011,06:11-31. （本科毕业论文）</span></li></ol><p>&nbsp;</p><hr /><h3 id='期刊评审'><span>期刊评审</span></h3><p><span>Applied Economics, Annals of Tourism Research, Energy Journal, Energy Economics, China Economic Review, World Development, Computational Economics, Economic Modelling, Energy Policy, Technological Forecasting &amp; Social Change, Applied Energy, Energy, Renewable and Sustainable Energy Reviews, Transportation Research Part A: Policy and Practice，Business, Strategy and the Environment </span></p><p>&nbsp;</p><p>&nbsp;</p><p><span>updated: 2021-11-24</span></p></div></div>
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